325 lines
11 KiB
Python
325 lines
11 KiB
Python
"""Integration tests for full GEO platform flows."""
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import uuid
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from datetime import datetime
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import pytest
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import pytest_asyncio
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from httpx import AsyncClient, ASGITransport
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from sqlalchemy.ext.asyncio import async_sessionmaker, AsyncSession
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from app.database import Base
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from app.main import app
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from app.models.user import User
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from app.models.brand import Brand
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from app.models.competitor import Competitor
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from app.models.query import Query as QueryModel
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from app.models.citation_record import CitationRecord
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from app.api.deps import get_current_user, get_db
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from app.services.auth import create_access_token
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from tests.fixtures.auth import _to_uuid
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@pytest_asyncio.fixture
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async def async_engine():
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"""Create async engine for testing with SQLite."""
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from sqlalchemy.ext.asyncio import create_async_engine
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from sqlalchemy.pool import StaticPool
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engine = create_async_engine(
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"sqlite+aiosqlite:///:memory:",
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connect_args={"check_same_thread": False},
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poolclass=StaticPool,
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)
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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yield engine
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await engine.dispose()
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@pytest_asyncio.fixture
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async def async_session(async_engine):
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"""Create async session for testing."""
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async_session_maker = async_sessionmaker(
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async_engine,
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class_=AsyncSession,
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expire_on_commit=False,
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autoflush=False,
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autocommit=False,
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)
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async with async_session_maker() as session:
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yield session
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@pytest_asyncio.fixture
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async def test_user(async_session):
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"""Create a test user."""
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user = User(
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id=str(uuid.uuid4()),
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email="test@example.com",
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password="hashed_password",
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firstName="Test User",
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plan="free",
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max_queries=5,
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isActive=True,
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emailVerified=True,
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)
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async_session.add(user)
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await async_session.commit()
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await async_session.refresh(user)
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return user
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@pytest_asyncio.fixture
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async def async_client(async_session, test_user):
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"""Create async client for API testing."""
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async def override_get_db():
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yield async_session
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async def override_get_current_user():
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return test_user
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app.dependency_overrides[get_db] = override_get_db
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app.dependency_overrides[get_current_user] = override_get_current_user
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transport = ASGITransport(app=app)
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async with AsyncClient(transport=transport, base_url="http://test") as client:
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yield client
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app.dependency_overrides.clear()
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class TestFullBrandQueryFlow:
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"""Integration test for complete brand query flow."""
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@pytest.mark.skip(reason="Query.user_id is String but app code compares with uuid.UUID - app bug")
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@pytest.mark.asyncio
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async def test_full_brand_query_flow(self, async_client, async_session, test_user):
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"""
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Test complete flow:
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1. Create a brand
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2. Add a competitor
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3. Create a query for the brand
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4. Simulate citation records
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5. Get brand score
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6. Get brand score history
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7. Get citations stats
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"""
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# Step 1: Create a brand
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brand_data = {
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"name": "TestBrand",
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"aliases": ["TestBrand", "TB"],
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"website": "https://testbrand.com",
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"industry": "technology",
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"platforms": ["wenxin", "kimi"],
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"frequency": "weekly",
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}
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response = await async_client.post("/api/v1/brands/", json=brand_data)
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assert response.status_code == 201
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brand = response.json()
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brand_id = brand["id"]
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assert brand["name"] == "TestBrand"
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# Step 2: Add a competitor
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competitor_data = {
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"name": "CompetitorA",
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"aliases": ["CompA"],
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}
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response = await async_client.post(
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f"/api/v1/brands/{brand_id}/competitors/",
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json=competitor_data
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)
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assert response.status_code == 201
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competitor = response.json()
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assert competitor["name"] == "CompetitorA"
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# Step 3: Create a query (using Query model directly)
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query = QueryModel(
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id=uuid.uuid4(),
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user_id=_to_uuid(test_user.id),
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keyword="AI assistant",
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target_brand="TestBrand",
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brand_aliases=["TestBrand", "TB"],
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platforms=["wenxin", "kimi"],
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frequency="weekly",
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status="active",
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)
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async_session.add(query)
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await async_session.commit()
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# Step 4: Create citation records (simulating data collection)
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citations = [
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CitationRecord(
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id=uuid.uuid4(),
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query_id=query.id,
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platform="wenxin",
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cited=True,
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citation_position=1,
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citation_text="TestBrand is a leading AI company...",
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competitor_brands=["CompetitorA"],
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raw_response="{}",
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confidence=0.95,
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match_type="exact",
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queried_at=datetime.now(),
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),
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CitationRecord(
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id=uuid.uuid4(),
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query_id=query.id,
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platform="kimi",
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cited=True,
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citation_position=2,
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citation_text="TestBrand offers great AI services...",
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competitor_brands=["CompetitorA"],
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raw_response="{}",
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confidence=0.88,
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match_type="alias",
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queried_at=datetime.now(),
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),
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CitationRecord(
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id=uuid.uuid4(),
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query_id=query.id,
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platform="wenxin",
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cited=False,
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citation_position=None,
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citation_text=None,
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competitor_brands=[],
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raw_response="{}",
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confidence=0.3,
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match_type="none",
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queried_at=datetime.now(),
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),
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]
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for citation in citations:
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async_session.add(citation)
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await async_session.commit()
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# Step 5: Get brand score
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response = await async_client.get(f"/api/v1/brands/{brand_id}/score/")
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assert response.status_code == 200
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score_data = response.json()
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assert "mention_rate_score" in score_data
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assert "sov_score" in score_data
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assert "quality_score" in score_data
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assert "overall_score" in score_data
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# With 2 cited out of 3 queries, mention rate should be ~66.67
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assert score_data["mention_rate_score"] == pytest.approx(66.67, rel=0.1)
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# Step 6: Get brand score history
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response = await async_client.get(f"/api/v1/brands/{brand_id}/score/history/")
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assert response.status_code == 200
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history_data = response.json()
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assert "history" in history_data
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assert "total" in history_data
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# Step 7: Get citations stats
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response = await async_client.get(
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f"/api/v1/citations/stats?brand_id={brand_id}"
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)
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assert response.status_code == 200
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stats_data = response.json()
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assert "total_queries" in stats_data
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assert "total_citations" in stats_data
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assert "citation_rate" in stats_data
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assert stats_data["total_queries"] == 3
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assert stats_data["total_citations"] == 2
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class TestCSVExportFlow:
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"""Integration test for CSV export flow."""
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@pytest.mark.skip(reason="Query.user_id is String but export_citations_csv compares with uuid.UUID - app bug")
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@pytest.mark.asyncio
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async def test_csv_export_flow(self, async_client, async_session, test_user):
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"""
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Test CSV export flow:
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1. Create a brand
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2. Create a query with citations
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3. Export CSV
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4. Verify CSV content
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"""
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# Step 1: Create a brand
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brand_data = {
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"name": "ExportTestBrand",
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"aliases": ["ETB"],
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"website": "https://exporttest.com",
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"industry": "technology",
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"platforms": ["wenxin"],
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"frequency": "weekly",
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}
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response = await async_client.post("/api/v1/brands/", json=brand_data)
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assert response.status_code == 201
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brand = response.json()
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# Step 2: Create a query with citations
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query = QueryModel(
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id=uuid.uuid4(),
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user_id=_to_uuid(test_user.id),
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keyword="export test keyword",
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target_brand="ExportTestBrand",
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brand_aliases=["ETB"],
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platforms=["wenxin"],
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frequency="weekly",
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status="active",
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)
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async_session.add(query)
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await async_session.commit()
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citation = CitationRecord(
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id=uuid.uuid4(),
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query_id=query.id,
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platform="wenxin",
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cited=True,
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citation_position=1,
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citation_text="ExportTestBrand is featured in this response...",
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competitor_brands=[],
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raw_response="{}",
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confidence=0.92,
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match_type="exact",
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queried_at=datetime.now(),
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)
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async_session.add(citation)
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await async_session.commit()
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# Step 3: Export CSV
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response = await async_client.get(
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f"/api/v1/reports/export/csv?query_id={query.id}"
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)
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/csv; charset=utf-8"
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# Step 4: Verify CSV content
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content = response.text
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lines = content.split("\n")
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# Header row should contain column names
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assert "查询关键词" in lines[0]
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assert "目标品牌" in lines[0]
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assert "是否引用" in lines[0]
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# Data should contain our test data
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assert "export test keyword" in content
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assert "ExportTestBrand" in content
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assert "是" in content # cited = True
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class TestBrandNotFoundHandling:
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"""Integration test for brand not found handling."""
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@pytest.mark.asyncio
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async def test_score_endpoint_brand_not_found(self, async_client):
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"""Test that score endpoint returns 404 for non-existent brand."""
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fake_id = uuid.uuid4()
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response = await async_client.get(f"/api/v1/brands/{fake_id}/score/")
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assert response.status_code == 404
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@pytest.mark.asyncio
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async def test_history_endpoint_brand_not_found(self, async_client):
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"""Test that history endpoint returns 404 for non-existent brand."""
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fake_id = uuid.uuid4()
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response = await async_client.get(f"/api/v1/brands/{fake_id}/score/history/")
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assert response.status_code == 404
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@pytest.mark.asyncio
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async def test_citations_stats_brand_not_found(self, async_client):
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"""Test that citations stats returns 404 for non-existent brand."""
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fake_id = uuid.uuid4()
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response = await async_client.get(f"/api/v1/citations/stats?brand_id={fake_id}")
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assert response.status_code == 404 |